Feedback controlled particle swarm optimization and its application in time-series prediction

► Feedback controlled particle swarm optimization can solve optimization problems effectively. ► A new particle evolutionary fitness function can control PSO parameters automatically. ► A new local learning method using a competitive penalized method can refine the solution. ► Feedback controlled PSO can be applied to a radial basis neural network for time-series prediction.